<abstract xmlns="http://www.w3.org/1999/xhtml"><p>In the study described here model calibration was performed employing the inverse analysis using genetic algorithms (GA). The objective of analysis is to determine value of the coefficient of hydraulic conductivity, <italic>k</italic>. The commonly used method for the determination of coefficient of hydraulic conductivity based on Terzaghi consolidation leads to an underestimation of the value of <italic>k</italic> as the Terzaghi model does not take into account the deformation of soil skeleton. Here, an alternative methodology based on genetic algorithms is presented for the determination of the basic parameters of Biot consolidation model. It has been demonstrated that genetic algorithms are a highly effective tool enabling automatic calibration based on simple rules. The values of the coefficient of hydraulic conductivity obtained with GA are of at least one order smaller than values obtained with the Terzaghi model.</p></abstract>

In the study described here model calibration was performed employing the inverse analysis using genetic algorithms (GA). The objective of analysis is to determine value of the coefficient of hydraulic conductivity, k. The commonly used method for the determination of coefficient of hydraulic conductivity based on Terzaghi consolidation leads to an underestimation of the value of k as the Terzaghi model does not take into account the deformation of soil skeleton. Here, an alternative methodology based on genetic algorithms is presented for the determination of the basic parameters of Biot consolidation model. It has been demonstrated that genetic algorithms are a highly effective tool enabling automatic calibration based on simple rules. The values of the coefficient of hydraulic conductivity obtained with GA are of at least one order smaller than values obtained with the Terzaghi model.

Application of Genetic Algorithms for the Estimation of Hydraulic Conductivity

Studia Geotechnica et Mechanica

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Application of Genetic Algorithms for the Estimation of Hydraulic Conductivity"}

In the study described here model calibration was performed employing the inverse analysis using genetic algorithms (GA). The objective of analysis is to...

Application of Genetic Algorithms for the Estimation of Hydraulic Conductivity

Article Category: Research Article

Data publikacji: 04 sie 2018

Zakres stron: 140 - 146

Otrzymano: 21 paź 2017

Przyjęty: 28 maj 2018

DOI: https://doi.org/10.2478/sgem-2018-0013

Słowa kluczowe
genetic algorithms, hydraulic conductivity, Biot consolidation model

© 2018 M. Bartlewska-Urban, T. Strzelecki, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Application of Genetic Algorithms for the Estimation of Hydraulic Conductivity

Article Category: Research Article

Data publikacji: 04 sie 2018

Zakres stron: 140 - 146

Otrzymano: 21 paź 2017

Przyjęty: 28 maj 2018

DOI: https://doi.org/10.2478/sgem-2018-0013

Słowa kluczowegenetic algorithms, hydraulic conductivity, Biot consolidation model

© 2018 M. Bartlewska-Urban, T. Strzelecki, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Słowa kluczowe
genetic algorithms, hydraulic conductivity, Biot consolidation model